AI Teaching Assistant: Innovative Applications for Class Management and Home-School Communication

Award: International User Experience Innovation Competition (UXDA) - Second Prize & Best Development Application Award

Award: KAN TAI-KEUNG DESIGN AWARD-UI design (Student group)-First Prize

Overview

This project aims to help teachers optimize class management and home-school communication, reducing the workload of teachers in parent groups. It uses AI to enhance the communication efficiency between teachers and parents, minimizing the time teachers spend on home-school communication outside of working hours. The project helps parents obtain information about their children’s school performance more quickly and efficiently, reducing the time spent searching through parent groups and allowing them to gain more targeted insights into their children’s progress at school.

Core Functions

Our AI Teaching Assistant provides four key functions to streamline home-school communication and enhance teacher efficiency.

Left: Smart dialogue system for automated responses and data collection. Right: AI template system for efficient task management and notifications.
Left: AI template system for task assignments and notifications. Right: Workbench notification system for organized communication management.

User Experience Journey

Understanding the complete user journey helps us design a more effective solution that addresses real pain points in home-school communication.

Comprehensive user experience journey map showing touchpoints, pain points, and opportunities for AI intervention.

Competitive Analysis

Analyzing existing solutions in the market helps us identify gaps and opportunities for innovation in home-school communication tools.

Detailed competitive analysis of existing home-school communication platforms and their feature comparisons.

KANO Model Analysis

Using the KANO model to prioritize features based on their impact on user satisfaction and identify must-have, should-have, and nice-to-have features.

KANO model analysis showing feature prioritization based on user satisfaction and implementation effort.

Technical Implementation

The system leverages advanced AI technologies to understand context, generate appropriate responses, and provide personalized information to parents while maintaining the human touch in teacher-parent relationships.

Technical architecture showing AI processing pipeline, data flow, and system integration for the AI Teaching Assistant.